DocumentCode :
3403254
Title :
Road tracking, lane segmentation and obstacle recognition by mathematical morphology
Author :
Yu, Xuan ; Beucher, Serge ; Bilodeau, Michel
Author_Institution :
Centre de Morphologie Math., Ecole des Mines de Paris, Fontainebleau, France
fYear :
1992
fDate :
29 Jun-1 Jul 1992
Firstpage :
166
Lastpage :
172
Abstract :
Presents the work performed at the CMM as part of the European PROMETHEUS project. The research deals with the road edge detection, lane segmentation and obstacle recognition in a dynamic scene acquired by a monochrome monocular camera. The image processing is based on morphological segmentation tools. The experiments on over a thousand images show that the approach works well on difficult cases such as dense traffic, and roads without land markers
Keywords :
computer vision; edge detection; image segmentation; mathematical morphology; navigation; road vehicles; PROMETHEUS project; computer vision; dynamic scene; image processing; lane segmentation; mathematical morphology; monochrome monocular camera; navigation; obstacle recognition; road edge detection; road tracking; road vehicles; Convolution; Detection algorithms; Filters; Floods; Image segmentation; Road vehicles; Solid modeling; Surface morphology; Surface topography; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles '92 Symposium., Proceedings of the
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-0747-X
Type :
conf
DOI :
10.1109/IVS.1992.252251
Filename :
252251
Link To Document :
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